{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import onnx\n",
    "import os\n",
    "\n",
    "# Load the ONNX model\n",
    "model = onnx.load(os.path.join('model.onnx'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph tf2onnx (\n",
      "  %input_1:0[FLOAT, unk__2104x416x416x3]\n",
      ") initializers (\n",
      "  %new_shape__2067[INT64, 4]\n",
      "  %const_slice__931[INT64, 1]\n",
      "  %const_slice__930[INT64, 1]\n",
      "  %const_slice__929[INT64, 1]\n",
      "  %const_fold_opt__2103[INT32, 1]\n",
      "  %const_fold_opt__2102[INT64, 2]\n",
      "  %const_fold_opt__2099[INT32, 1]\n",
      "  %const_fold_opt__2097[INT64, 2]\n",
      "  %const_empty_float__689[FLOAT, 0]\n",
      "  %StatefulPartitionedCall/model/conv2d_99/Conv2D_weights_fused_bn[FLOAT, 256x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_99/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_98/Conv2D_weights_fused_bn[FLOAT, 512x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_98/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_97/Conv2D_weights_fused_bn[FLOAT, 256x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_97/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_96/Conv2D_weights_fused_bn[FLOAT, 512x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_96/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_95/Conv2D_weights_fused_bn[FLOAT, 256x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_95/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_94/Conv2D_weights_fused_bn[FLOAT, 256x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_94/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_93/Conv2D/ReadVariableOp:0[FLOAT, 255x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_93/BiasAdd/ReadVariableOp:0[FLOAT, 255]\n",
      "  %StatefulPartitionedCall/model/conv2d_92/Conv2D_weights_fused_bn[FLOAT, 256x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_92/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_91/Conv2D_weights_fused_bn[FLOAT, 128x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_91/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_90/Conv2D_weights_fused_bn[FLOAT, 256x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_90/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_9/Conv2D_weights_fused_bn[FLOAT, 64x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_9/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_89/Conv2D_weights_fused_bn[FLOAT, 128x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_89/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_88/Conv2D_weights_fused_bn[FLOAT, 256x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_88/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_87/Conv2D_weights_fused_bn[FLOAT, 128x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_87/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_86/Conv2D_weights_fused_bn[FLOAT, 128x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_86/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_85/Conv2D_weights_fused_bn[FLOAT, 128x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_85/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_84/Conv2D_weights_fused_bn[FLOAT, 256x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_84/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_83/Conv2D_weights_fused_bn[FLOAT, 512x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_83/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_82/Conv2D_weights_fused_bn[FLOAT, 256x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_82/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_81/Conv2D_weights_fused_bn[FLOAT, 512x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_81/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_80/Conv2D_weights_fused_bn[FLOAT, 256x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_80/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_8/Conv2D_weights_fused_bn[FLOAT, 128x64x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_8/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_79/Conv2D_weights_fused_bn[FLOAT, 256x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_79/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_78/Conv2D_weights_fused_bn[FLOAT, 256x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_78/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_77/Conv2D_weights_fused_bn[FLOAT, 512x1024x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_77/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_76/Conv2D_weights_fused_bn[FLOAT, 1024x512x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_76/Conv2D_bias_fused_bn[FLOAT, 1024]\n",
      "  %StatefulPartitionedCall/model/conv2d_75/Conv2D_weights_fused_bn[FLOAT, 512x2048x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_75/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_74/Conv2D_weights_fused_bn[FLOAT, 512x1024x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_74/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_73/Conv2D_weights_fused_bn[FLOAT, 1024x512x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_73/Conv2D_bias_fused_bn[FLOAT, 1024]\n",
      "  %StatefulPartitionedCall/model/conv2d_72/Conv2D_weights_fused_bn[FLOAT, 512x1024x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_72/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_71/Conv2D_weights_fused_bn[FLOAT, 1024x1024x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_71/Conv2D_bias_fused_bn[FLOAT, 1024]\n",
      "  %StatefulPartitionedCall/model/conv2d_70/Conv2D_weights_fused_bn[FLOAT, 512x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_70/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_7/Conv2D_weights_fused_bn[FLOAT, 64x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_7/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_69/Conv2D_weights_fused_bn[FLOAT, 512x512x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_69/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_68/Conv2D_weights_fused_bn[FLOAT, 512x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_68/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_67/Conv2D_weights_fused_bn[FLOAT, 512x512x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_67/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_66/Conv2D_weights_fused_bn[FLOAT, 512x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_66/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_65/Conv2D_weights_fused_bn[FLOAT, 512x512x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_65/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_64/Conv2D_weights_fused_bn[FLOAT, 512x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_64/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_63/Conv2D_weights_fused_bn[FLOAT, 512x512x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_63/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_62/Conv2D_weights_fused_bn[FLOAT, 512x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_62/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_61/Conv2D_weights_fused_bn[FLOAT, 512x1024x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_61/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_60/Conv2D_weights_fused_bn[FLOAT, 512x1024x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_60/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_6/Conv2D_weights_fused_bn[FLOAT, 64x64x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_6/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_59/Conv2D_weights_fused_bn[FLOAT, 1024x512x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_59/Conv2D_bias_fused_bn[FLOAT, 1024]\n",
      "  %StatefulPartitionedCall/model/conv2d_58/Conv2D_weights_fused_bn[FLOAT, 512x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_58/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_57/Conv2D_weights_fused_bn[FLOAT, 256x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_57/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_56/Conv2D_weights_fused_bn[FLOAT, 256x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_56/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_55/Conv2D_weights_fused_bn[FLOAT, 256x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_55/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_54/Conv2D_weights_fused_bn[FLOAT, 256x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_54/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_53/Conv2D_weights_fused_bn[FLOAT, 256x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_53/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_52/Conv2D_weights_fused_bn[FLOAT, 256x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_52/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_51/Conv2D_weights_fused_bn[FLOAT, 256x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_51/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_50/Conv2D_weights_fused_bn[FLOAT, 256x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_50/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_5/Conv2D_weights_fused_bn[FLOAT, 64x32x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_5/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_49/Conv2D_weights_fused_bn[FLOAT, 256x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_49/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_48/Conv2D_weights_fused_bn[FLOAT, 256x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_48/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_47/Conv2D_weights_fused_bn[FLOAT, 256x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_47/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_46/Conv2D_weights_fused_bn[FLOAT, 256x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_46/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_45/Conv2D_weights_fused_bn[FLOAT, 256x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_45/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_44/Conv2D_weights_fused_bn[FLOAT, 256x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_44/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_43/Conv2D_weights_fused_bn[FLOAT, 256x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_43/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_42/Conv2D_weights_fused_bn[FLOAT, 256x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_42/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_41/Conv2D_weights_fused_bn[FLOAT, 256x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_41/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_40/Conv2D_weights_fused_bn[FLOAT, 256x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_40/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_4/Conv2D_weights_fused_bn[FLOAT, 32x64x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_4/Conv2D_bias_fused_bn[FLOAT, 32]\n",
      "  %StatefulPartitionedCall/model/conv2d_39/Conv2D_weights_fused_bn[FLOAT, 256x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_39/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_38/Conv2D_weights_fused_bn[FLOAT, 512x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_38/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_37/Conv2D_weights_fused_bn[FLOAT, 256x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_37/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_36/Conv2D_weights_fused_bn[FLOAT, 128x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_36/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_35/Conv2D_weights_fused_bn[FLOAT, 128x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_35/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_34/Conv2D_weights_fused_bn[FLOAT, 128x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_34/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_33/Conv2D_weights_fused_bn[FLOAT, 128x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_33/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_32/Conv2D_weights_fused_bn[FLOAT, 128x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_32/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_31/Conv2D_weights_fused_bn[FLOAT, 128x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_31/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_30/Conv2D_weights_fused_bn[FLOAT, 128x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_30/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_3/Conv2D_weights_fused_bn[FLOAT, 64x64x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_3/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_29/Conv2D_weights_fused_bn[FLOAT, 128x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_29/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_28/Conv2D_weights_fused_bn[FLOAT, 128x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_28/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_27/Conv2D_weights_fused_bn[FLOAT, 128x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_27/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_26/Conv2D_weights_fused_bn[FLOAT, 128x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_26/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_25/Conv2D_weights_fused_bn[FLOAT, 128x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_25/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_24/Conv2D_weights_fused_bn[FLOAT, 128x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_24/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_23/Conv2D_weights_fused_bn[FLOAT, 128x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_23/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_22/Conv2D_weights_fused_bn[FLOAT, 128x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_22/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_21/Conv2D_weights_fused_bn[FLOAT, 128x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_21/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_20/Conv2D_weights_fused_bn[FLOAT, 128x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_20/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_2/Conv2D_weights_fused_bn[FLOAT, 64x64x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_2/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_19/Conv2D_weights_fused_bn[FLOAT, 128x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_19/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_18/Conv2D_weights_fused_bn[FLOAT, 128x256x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_18/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_17/Conv2D_weights_fused_bn[FLOAT, 256x128x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_17/Conv2D_bias_fused_bn[FLOAT, 256]\n",
      "  %StatefulPartitionedCall/model/conv2d_16/Conv2D_weights_fused_bn[FLOAT, 128x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_16/Conv2D_bias_fused_bn[FLOAT, 128]\n",
      "  %StatefulPartitionedCall/model/conv2d_15/Conv2D_weights_fused_bn[FLOAT, 64x64x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_15/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_14/Conv2D_weights_fused_bn[FLOAT, 64x64x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_14/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_13/Conv2D_weights_fused_bn[FLOAT, 64x64x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_13/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_12/Conv2D_weights_fused_bn[FLOAT, 64x64x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_12/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_11/Conv2D_weights_fused_bn[FLOAT, 64x64x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_11/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_109/Conv2D/ReadVariableOp:0[FLOAT, 255x1024x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_109/BiasAdd/ReadVariableOp:0[FLOAT, 255]\n",
      "  %StatefulPartitionedCall/model/conv2d_108/Conv2D_weights_fused_bn[FLOAT, 1024x512x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_108/Conv2D_bias_fused_bn[FLOAT, 1024]\n",
      "  %StatefulPartitionedCall/model/conv2d_107/Conv2D_weights_fused_bn[FLOAT, 512x1024x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_107/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_106/Conv2D_weights_fused_bn[FLOAT, 1024x512x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_106/Conv2D_bias_fused_bn[FLOAT, 1024]\n",
      "  %StatefulPartitionedCall/model/conv2d_105/Conv2D_weights_fused_bn[FLOAT, 512x1024x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_105/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_104/Conv2D_weights_fused_bn[FLOAT, 1024x512x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_104/Conv2D_bias_fused_bn[FLOAT, 1024]\n",
      "  %StatefulPartitionedCall/model/conv2d_103/Conv2D_weights_fused_bn[FLOAT, 512x1024x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_103/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_102/Conv2D_weights_fused_bn[FLOAT, 512x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_102/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_101/Conv2D/ReadVariableOp:0[FLOAT, 255x512x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_101/BiasAdd/ReadVariableOp:0[FLOAT, 255]\n",
      "  %StatefulPartitionedCall/model/conv2d_100/Conv2D_weights_fused_bn[FLOAT, 512x256x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_100/Conv2D_bias_fused_bn[FLOAT, 512]\n",
      "  %StatefulPartitionedCall/model/conv2d_10/Conv2D_weights_fused_bn[FLOAT, 64x128x1x1]\n",
      "  %StatefulPartitionedCall/model/conv2d_10/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d_1/Conv2D_weights_fused_bn[FLOAT, 64x32x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d_1/Conv2D_bias_fused_bn[FLOAT, 64]\n",
      "  %StatefulPartitionedCall/model/conv2d/Conv2D_weights_fused_bn[FLOAT, 32x3x3x3]\n",
      "  %StatefulPartitionedCall/model/conv2d/Conv2D_bias_fused_bn[FLOAT, 32]\n",
      "  %Reshape__1345:0[FLOAT, 1x1x1x1]\n",
      "  %Const__1878[INT32, 4]\n",
      ") {\n",
      "  %StatefulPartitionedCall/model/conv2d/Conv2D__46:0 = Transpose[perm = [0, 3, 1, 2]](%input_1:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/conv2d/Conv2D__46:0, %StatefulPartitionedCall/model/conv2d/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization/FusedBatchNormV3:0)\n",
      "  %Transpose__1378:0 = Reshape(%Reshape__1345:0, %new_shape__2067)\n",
      "  %StatefulPartitionedCall/model/lambda/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda/Log:0 = Log(%StatefulPartitionedCall/model/lambda/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_1/FusedBatchNormV3:0 = Conv[auto_pad = 'NOTSET', dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 0, 0], strides = [2, 2]](%StatefulPartitionedCall/model/lambda/mul:0, %StatefulPartitionedCall/model/conv2d_1/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_1/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_1/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_1/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_1/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_1/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_1/Log:0 = Log(%StatefulPartitionedCall/model/lambda_1/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_1/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_1/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_1/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_1/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_1/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_3/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_1/mul:0, %StatefulPartitionedCall/model/conv2d_3/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_3/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_3/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_3/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_3/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_3/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_3/Log:0 = Log(%StatefulPartitionedCall/model/lambda_3/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_3/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_3/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_3/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_3/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_3/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_4/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_3/mul:0, %StatefulPartitionedCall/model/conv2d_4/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_4/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_4/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_4/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_4/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_4/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_4/Log:0 = Log(%StatefulPartitionedCall/model/lambda_4/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_4/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_4/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_4/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_4/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_4/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_5/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_4/mul:0, %StatefulPartitionedCall/model/conv2d_5/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_5/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_5/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_5/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_5/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_5/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_5/Log:0 = Log(%StatefulPartitionedCall/model/lambda_5/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_5/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_5/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_5/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_5/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_5/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add/add:0 = Add(%StatefulPartitionedCall/model/lambda_3/mul:0, %StatefulPartitionedCall/model/lambda_5/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_6/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add/add:0, %StatefulPartitionedCall/model/conv2d_6/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_6/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_6/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_6/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_6/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_6/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_6/Log:0 = Log(%StatefulPartitionedCall/model/lambda_6/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_6/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_6/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_6/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_6/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_6/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_2/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_1/mul:0, %StatefulPartitionedCall/model/conv2d_2/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_2/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_2/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_2/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_2/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_2/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_2/Log:0 = Log(%StatefulPartitionedCall/model/lambda_2/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_2/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_2/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_2/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_2/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_2/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_concat/concat:0 = Concat[axis = 1](%StatefulPartitionedCall/model/lambda_6/mul:0, %StatefulPartitionedCall/model/lambda_2/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_7/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_concat/concat:0, %StatefulPartitionedCall/model/conv2d_7/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_7/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_7/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_7/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_7/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_7/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_7/Log:0 = Log(%StatefulPartitionedCall/model/lambda_7/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_7/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_7/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_7/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_7/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_7/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_8/FusedBatchNormV3:0 = Conv[auto_pad = 'NOTSET', dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 0, 0], strides = [2, 2]](%StatefulPartitionedCall/model/lambda_7/mul:0, %StatefulPartitionedCall/model/conv2d_8/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_8/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_8/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_8/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_8/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_8/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_8/Log:0 = Log(%StatefulPartitionedCall/model/lambda_8/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_8/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_8/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_8/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_8/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_8/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_9/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_8/mul:0, %StatefulPartitionedCall/model/conv2d_9/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_9/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_9/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_9/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_9/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_9/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_9/Log:0 = Log(%StatefulPartitionedCall/model/lambda_9/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_9/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_9/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_9/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_9/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_9/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_10/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_8/mul:0, %StatefulPartitionedCall/model/conv2d_10/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_10/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_10/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_10/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_10/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_10/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_10/Log:0 = Log(%StatefulPartitionedCall/model/lambda_10/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_10/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_10/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_10/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_10/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_10/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_11/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_10/mul:0, %StatefulPartitionedCall/model/conv2d_11/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_11/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_11/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_11/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_11/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_11/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_11/Log:0 = Log(%StatefulPartitionedCall/model/lambda_11/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_11/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_11/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_11/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_11/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_11/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_12/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_11/mul:0, %StatefulPartitionedCall/model/conv2d_12/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_12/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_12/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_12/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_12/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_12/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_12/Log:0 = Log(%StatefulPartitionedCall/model/lambda_12/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_12/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_12/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_12/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_12/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_12/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_1/add_1:0 = Add(%StatefulPartitionedCall/model/lambda_10/mul:0, %StatefulPartitionedCall/model/lambda_12/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_13/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_1/add_1:0, %StatefulPartitionedCall/model/conv2d_13/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_13/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_13/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_13/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_13/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_13/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_13/Log:0 = Log(%StatefulPartitionedCall/model/lambda_13/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_13/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_13/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_13/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_13/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_13/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_14/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_13/mul:0, %StatefulPartitionedCall/model/conv2d_14/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_14/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_14/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_14/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_14/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_14/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_14/Log:0 = Log(%StatefulPartitionedCall/model/lambda_14/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_14/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_14/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_14/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_14/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_14/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_2/add_2:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_1/add_1:0, %StatefulPartitionedCall/model/lambda_14/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_15/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_2/add_2:0, %StatefulPartitionedCall/model/conv2d_15/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_15/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_15/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_15/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_15/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_15/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_15/Log:0 = Log(%StatefulPartitionedCall/model/lambda_15/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_15/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_15/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_15/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_15/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_15/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_concat_1/concat_1:0 = Concat[axis = 1](%StatefulPartitionedCall/model/lambda_15/mul:0, %StatefulPartitionedCall/model/lambda_9/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_16/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_concat_1/concat_1:0, %StatefulPartitionedCall/model/conv2d_16/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_16/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_16/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_16/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_16/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_16/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_16/Log:0 = Log(%StatefulPartitionedCall/model/lambda_16/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_16/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_16/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_16/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_16/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_16/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_17/FusedBatchNormV3:0 = Conv[auto_pad = 'NOTSET', dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 0, 0], strides = [2, 2]](%StatefulPartitionedCall/model/lambda_16/mul:0, %StatefulPartitionedCall/model/conv2d_17/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_17/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_17/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_17/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_17/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_17/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_17/Log:0 = Log(%StatefulPartitionedCall/model/lambda_17/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_17/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_17/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_17/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_17/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_17/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_19/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_17/mul:0, %StatefulPartitionedCall/model/conv2d_19/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_19/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_19/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_19/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_19/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_19/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_19/Log:0 = Log(%StatefulPartitionedCall/model/lambda_19/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_19/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_19/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_19/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_19/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_19/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_20/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_19/mul:0, %StatefulPartitionedCall/model/conv2d_20/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_20/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_20/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_20/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_20/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_20/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_20/Log:0 = Log(%StatefulPartitionedCall/model/lambda_20/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_20/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_20/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_20/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_20/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_20/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_21/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_20/mul:0, %StatefulPartitionedCall/model/conv2d_21/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_21/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_21/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_21/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_21/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_21/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_21/Log:0 = Log(%StatefulPartitionedCall/model/lambda_21/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_21/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_21/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_21/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_21/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_21/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_3/add_3:0 = Add(%StatefulPartitionedCall/model/lambda_19/mul:0, %StatefulPartitionedCall/model/lambda_21/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_22/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_3/add_3:0, %StatefulPartitionedCall/model/conv2d_22/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_22/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_22/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_22/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_22/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_22/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_22/Log:0 = Log(%StatefulPartitionedCall/model/lambda_22/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_22/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_22/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_22/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_22/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_22/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_23/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_22/mul:0, %StatefulPartitionedCall/model/conv2d_23/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_23/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_23/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_23/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_23/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_23/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_23/Log:0 = Log(%StatefulPartitionedCall/model/lambda_23/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_23/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_23/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_23/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_23/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_23/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_4/add_4:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_3/add_3:0, %StatefulPartitionedCall/model/lambda_23/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_24/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_4/add_4:0, %StatefulPartitionedCall/model/conv2d_24/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_24/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_24/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_24/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_24/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_24/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_24/Log:0 = Log(%StatefulPartitionedCall/model/lambda_24/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_24/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_24/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_24/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_24/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_24/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_25/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_24/mul:0, %StatefulPartitionedCall/model/conv2d_25/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_25/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_25/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_25/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_25/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_25/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_25/Log:0 = Log(%StatefulPartitionedCall/model/lambda_25/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_25/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_25/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_25/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_25/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_25/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_5/add_5:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_4/add_4:0, %StatefulPartitionedCall/model/lambda_25/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_26/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_5/add_5:0, %StatefulPartitionedCall/model/conv2d_26/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_26/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_26/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_26/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_26/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_26/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_26/Log:0 = Log(%StatefulPartitionedCall/model/lambda_26/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_26/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_26/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_26/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_26/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_26/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_27/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_26/mul:0, %StatefulPartitionedCall/model/conv2d_27/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_27/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_27/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_27/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_27/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_27/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_27/Log:0 = Log(%StatefulPartitionedCall/model/lambda_27/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_27/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_27/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_27/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_27/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_27/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_6/add_6:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_5/add_5:0, %StatefulPartitionedCall/model/lambda_27/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_28/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_6/add_6:0, %StatefulPartitionedCall/model/conv2d_28/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_28/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_28/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_28/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_28/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_28/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_28/Log:0 = Log(%StatefulPartitionedCall/model/lambda_28/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_28/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_28/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_28/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_28/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_28/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_29/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_28/mul:0, %StatefulPartitionedCall/model/conv2d_29/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_29/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_29/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_29/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_29/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_29/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_29/Log:0 = Log(%StatefulPartitionedCall/model/lambda_29/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_29/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_29/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_29/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_29/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_29/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_7/add_7:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_6/add_6:0, %StatefulPartitionedCall/model/lambda_29/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_30/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_7/add_7:0, %StatefulPartitionedCall/model/conv2d_30/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_30/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_30/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_30/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_30/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_30/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_30/Log:0 = Log(%StatefulPartitionedCall/model/lambda_30/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_30/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_30/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_30/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_30/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_30/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_31/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_30/mul:0, %StatefulPartitionedCall/model/conv2d_31/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_31/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_31/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_31/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_31/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_31/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_31/Log:0 = Log(%StatefulPartitionedCall/model/lambda_31/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_31/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_31/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_31/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_31/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_31/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_8/add_8:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_7/add_7:0, %StatefulPartitionedCall/model/lambda_31/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_32/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_8/add_8:0, %StatefulPartitionedCall/model/conv2d_32/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_32/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_32/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_32/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_32/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_32/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_32/Log:0 = Log(%StatefulPartitionedCall/model/lambda_32/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_32/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_32/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_32/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_32/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_32/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_33/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_32/mul:0, %StatefulPartitionedCall/model/conv2d_33/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_33/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_33/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_33/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_33/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_33/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_33/Log:0 = Log(%StatefulPartitionedCall/model/lambda_33/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_33/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_33/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_33/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_33/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_33/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_9/add_9:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_8/add_8:0, %StatefulPartitionedCall/model/lambda_33/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_34/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_9/add_9:0, %StatefulPartitionedCall/model/conv2d_34/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_34/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_34/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_34/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_34/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_34/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_34/Log:0 = Log(%StatefulPartitionedCall/model/lambda_34/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_34/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_34/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_34/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_34/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_34/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_35/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_34/mul:0, %StatefulPartitionedCall/model/conv2d_35/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_35/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_35/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_35/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_35/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_35/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_35/Log:0 = Log(%StatefulPartitionedCall/model/lambda_35/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_35/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_35/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_35/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_35/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_35/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_10/add_10:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_9/add_9:0, %StatefulPartitionedCall/model/lambda_35/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_36/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_10/add_10:0, %StatefulPartitionedCall/model/conv2d_36/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_36/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_36/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_36/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_36/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_36/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_36/Log:0 = Log(%StatefulPartitionedCall/model/lambda_36/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_36/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_36/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_36/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_36/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_36/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_18/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_17/mul:0, %StatefulPartitionedCall/model/conv2d_18/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_18/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_18/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_18/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_18/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_18/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_18/Log:0 = Log(%StatefulPartitionedCall/model/lambda_18/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_18/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_18/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_18/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_18/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_18/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_concat_2/concat_2:0 = Concat[axis = 1](%StatefulPartitionedCall/model/lambda_36/mul:0, %StatefulPartitionedCall/model/lambda_18/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_37/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_concat_2/concat_2:0, %StatefulPartitionedCall/model/conv2d_37/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_37/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_37/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_37/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_37/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_37/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_37/Log:0 = Log(%StatefulPartitionedCall/model/lambda_37/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_37/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_37/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_37/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_37/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_37/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_86/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_37/mul:0, %StatefulPartitionedCall/model/conv2d_86/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_86/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_14/LeakyRelu_14:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_86/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_38/FusedBatchNormV3:0 = Conv[auto_pad = 'NOTSET', dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 0, 0], strides = [2, 2]](%StatefulPartitionedCall/model/lambda_37/mul:0, %StatefulPartitionedCall/model/conv2d_38/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_38/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_38/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_38/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_38/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_38/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_38/Log:0 = Log(%StatefulPartitionedCall/model/lambda_38/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_38/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_38/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_38/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_38/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_38/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_40/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_38/mul:0, %StatefulPartitionedCall/model/conv2d_40/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_40/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_40/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_40/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_40/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_40/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_40/Log:0 = Log(%StatefulPartitionedCall/model/lambda_40/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_40/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_40/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_40/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_40/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_40/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_41/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_40/mul:0, %StatefulPartitionedCall/model/conv2d_41/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_41/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_41/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_41/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_41/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_41/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_41/Log:0 = Log(%StatefulPartitionedCall/model/lambda_41/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_41/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_41/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_41/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_41/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_41/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_42/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_41/mul:0, %StatefulPartitionedCall/model/conv2d_42/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_42/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_42/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_42/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_42/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_42/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_42/Log:0 = Log(%StatefulPartitionedCall/model/lambda_42/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_42/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_42/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_42/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_42/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_42/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_11/add_11:0 = Add(%StatefulPartitionedCall/model/lambda_40/mul:0, %StatefulPartitionedCall/model/lambda_42/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_43/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_11/add_11:0, %StatefulPartitionedCall/model/conv2d_43/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_43/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_43/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_43/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_43/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_43/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_43/Log:0 = Log(%StatefulPartitionedCall/model/lambda_43/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_43/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_43/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_43/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_43/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_43/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_44/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_43/mul:0, %StatefulPartitionedCall/model/conv2d_44/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_44/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_44/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_44/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_44/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_44/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_44/Log:0 = Log(%StatefulPartitionedCall/model/lambda_44/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_44/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_44/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_44/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_44/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_44/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_12/add_12:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_11/add_11:0, %StatefulPartitionedCall/model/lambda_44/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_45/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_12/add_12:0, %StatefulPartitionedCall/model/conv2d_45/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_45/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_45/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_45/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_45/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_45/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_45/Log:0 = Log(%StatefulPartitionedCall/model/lambda_45/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_45/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_45/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_45/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_45/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_45/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_46/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_45/mul:0, %StatefulPartitionedCall/model/conv2d_46/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_46/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_46/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_46/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_46/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_46/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_46/Log:0 = Log(%StatefulPartitionedCall/model/lambda_46/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_46/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_46/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_46/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_46/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_46/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_13/add_13:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_12/add_12:0, %StatefulPartitionedCall/model/lambda_46/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_47/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_13/add_13:0, %StatefulPartitionedCall/model/conv2d_47/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_47/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_47/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_47/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_47/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_47/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_47/Log:0 = Log(%StatefulPartitionedCall/model/lambda_47/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_47/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_47/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_47/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_47/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_47/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_48/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_47/mul:0, %StatefulPartitionedCall/model/conv2d_48/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_48/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_48/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_48/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_48/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_48/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_48/Log:0 = Log(%StatefulPartitionedCall/model/lambda_48/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_48/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_48/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_48/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_48/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_48/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_14/add_14:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_13/add_13:0, %StatefulPartitionedCall/model/lambda_48/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_49/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_14/add_14:0, %StatefulPartitionedCall/model/conv2d_49/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_49/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_49/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_49/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_49/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_49/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_49/Log:0 = Log(%StatefulPartitionedCall/model/lambda_49/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_49/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_49/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_49/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_49/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_49/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_50/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_49/mul:0, %StatefulPartitionedCall/model/conv2d_50/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_50/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_50/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_50/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_50/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_50/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_50/Log:0 = Log(%StatefulPartitionedCall/model/lambda_50/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_50/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_50/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_50/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_50/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_50/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_15/add_15:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_14/add_14:0, %StatefulPartitionedCall/model/lambda_50/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_51/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_15/add_15:0, %StatefulPartitionedCall/model/conv2d_51/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_51/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_51/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_51/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_51/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_51/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_51/Log:0 = Log(%StatefulPartitionedCall/model/lambda_51/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_51/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_51/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_51/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_51/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_51/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_52/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_51/mul:0, %StatefulPartitionedCall/model/conv2d_52/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_52/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_52/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_52/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_52/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_52/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_52/Log:0 = Log(%StatefulPartitionedCall/model/lambda_52/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_52/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_52/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_52/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_52/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_52/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_16/add_16:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_15/add_15:0, %StatefulPartitionedCall/model/lambda_52/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_53/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_16/add_16:0, %StatefulPartitionedCall/model/conv2d_53/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_53/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_53/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_53/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_53/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_53/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_53/Log:0 = Log(%StatefulPartitionedCall/model/lambda_53/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_53/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_53/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_53/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_53/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_53/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_54/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_53/mul:0, %StatefulPartitionedCall/model/conv2d_54/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_54/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_54/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_54/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_54/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_54/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_54/Log:0 = Log(%StatefulPartitionedCall/model/lambda_54/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_54/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_54/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_54/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_54/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_54/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_17/add_17:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_16/add_16:0, %StatefulPartitionedCall/model/lambda_54/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_55/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_17/add_17:0, %StatefulPartitionedCall/model/conv2d_55/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_55/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_55/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_55/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_55/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_55/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_55/Log:0 = Log(%StatefulPartitionedCall/model/lambda_55/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_55/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_55/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_55/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_55/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_55/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_56/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_55/mul:0, %StatefulPartitionedCall/model/conv2d_56/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_56/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_56/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_56/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_56/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_56/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_56/Log:0 = Log(%StatefulPartitionedCall/model/lambda_56/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_56/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_56/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_56/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_56/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_56/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_18/add_18:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_17/add_17:0, %StatefulPartitionedCall/model/lambda_56/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_57/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_18/add_18:0, %StatefulPartitionedCall/model/conv2d_57/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_57/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_57/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_57/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_57/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_57/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_57/Log:0 = Log(%StatefulPartitionedCall/model/lambda_57/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_57/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_57/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_57/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_57/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_57/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_39/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_38/mul:0, %StatefulPartitionedCall/model/conv2d_39/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_39/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_39/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_39/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_39/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_39/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_39/Log:0 = Log(%StatefulPartitionedCall/model/lambda_39/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_39/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_39/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_39/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_39/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_39/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_concat_3/concat_3:0 = Concat[axis = 1](%StatefulPartitionedCall/model/lambda_57/mul:0, %StatefulPartitionedCall/model/lambda_39/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_58/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_concat_3/concat_3:0, %StatefulPartitionedCall/model/conv2d_58/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_58/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_58/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_58/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_58/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_58/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_58/Log:0 = Log(%StatefulPartitionedCall/model/lambda_58/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_58/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_58/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_58/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_58/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_58/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_79/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_58/mul:0, %StatefulPartitionedCall/model/conv2d_79/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_79/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_7/LeakyRelu_7:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_79/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_59/FusedBatchNormV3:0 = Conv[auto_pad = 'NOTSET', dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 0, 0], strides = [2, 2]](%StatefulPartitionedCall/model/lambda_58/mul:0, %StatefulPartitionedCall/model/conv2d_59/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_59/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_59/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_59/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_59/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_59/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_59/Log:0 = Log(%StatefulPartitionedCall/model/lambda_59/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_59/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_59/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_59/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_59/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_59/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_61/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_59/mul:0, %StatefulPartitionedCall/model/conv2d_61/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_61/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_61/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_61/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_61/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_61/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_61/Log:0 = Log(%StatefulPartitionedCall/model/lambda_61/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_61/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_61/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_61/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_61/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_61/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_62/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_61/mul:0, %StatefulPartitionedCall/model/conv2d_62/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_62/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_62/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_62/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_62/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_62/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_62/Log:0 = Log(%StatefulPartitionedCall/model/lambda_62/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_62/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_62/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_62/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_62/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_62/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_63/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_62/mul:0, %StatefulPartitionedCall/model/conv2d_63/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_63/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_63/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_63/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_63/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_63/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_63/Log:0 = Log(%StatefulPartitionedCall/model/lambda_63/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_63/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_63/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_63/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_63/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_63/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_19/add_19:0 = Add(%StatefulPartitionedCall/model/lambda_61/mul:0, %StatefulPartitionedCall/model/lambda_63/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_64/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_19/add_19:0, %StatefulPartitionedCall/model/conv2d_64/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_64/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_64/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_64/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_64/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_64/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_64/Log:0 = Log(%StatefulPartitionedCall/model/lambda_64/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_64/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_64/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_64/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_64/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_64/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_65/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_64/mul:0, %StatefulPartitionedCall/model/conv2d_65/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_65/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_65/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_65/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_65/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_65/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_65/Log:0 = Log(%StatefulPartitionedCall/model/lambda_65/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_65/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_65/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_65/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_65/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_65/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_20/add_20:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_19/add_19:0, %StatefulPartitionedCall/model/lambda_65/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_66/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_20/add_20:0, %StatefulPartitionedCall/model/conv2d_66/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_66/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_66/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_66/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_66/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_66/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_66/Log:0 = Log(%StatefulPartitionedCall/model/lambda_66/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_66/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_66/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_66/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_66/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_66/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_67/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_66/mul:0, %StatefulPartitionedCall/model/conv2d_67/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_67/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_67/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_67/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_67/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_67/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_67/Log:0 = Log(%StatefulPartitionedCall/model/lambda_67/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_67/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_67/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_67/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_67/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_67/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_21/add_21:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_20/add_20:0, %StatefulPartitionedCall/model/lambda_67/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_68/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_21/add_21:0, %StatefulPartitionedCall/model/conv2d_68/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_68/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_68/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_68/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_68/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_68/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_68/Log:0 = Log(%StatefulPartitionedCall/model/lambda_68/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_68/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_68/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_68/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_68/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_68/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_69/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_68/mul:0, %StatefulPartitionedCall/model/conv2d_69/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_69/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_69/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_69/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_69/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_69/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_69/Log:0 = Log(%StatefulPartitionedCall/model/lambda_69/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_69/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_69/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_69/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_69/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_69/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_add_22/add_22:0 = Add(%StatefulPartitionedCall/model/tf_op_layer_add_21/add_21:0, %StatefulPartitionedCall/model/lambda_69/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_70/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_add_22/add_22:0, %StatefulPartitionedCall/model/conv2d_70/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_70/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_70/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_70/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_70/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_70/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_70/Log:0 = Log(%StatefulPartitionedCall/model/lambda_70/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_70/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_70/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_70/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_70/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_70/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_60/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_59/mul:0, %StatefulPartitionedCall/model/conv2d_60/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_60/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_60/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_60/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_60/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_60/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_60/Log:0 = Log(%StatefulPartitionedCall/model/lambda_60/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_60/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_60/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_60/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_60/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_60/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_concat_4/concat_4:0 = Concat[axis = 1](%StatefulPartitionedCall/model/lambda_70/mul:0, %StatefulPartitionedCall/model/lambda_60/mul:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_71/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_concat_4/concat_4:0, %StatefulPartitionedCall/model/conv2d_71/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_71/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/lambda_71/Exp:0 = Exp(%StatefulPartitionedCall/model/batch_normalization_71/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/lambda_71/add:0 = Add(%Transpose__1378:0, %StatefulPartitionedCall/model/lambda_71/Exp:0)\n",
      "  %StatefulPartitionedCall/model/lambda_71/Log:0 = Log(%StatefulPartitionedCall/model/lambda_71/add:0)\n",
      "  %StatefulPartitionedCall/model/lambda_71/Tanh:0 = Tanh(%StatefulPartitionedCall/model/lambda_71/Log:0)\n",
      "  %StatefulPartitionedCall/model/lambda_71/mul:0 = Mul(%StatefulPartitionedCall/model/batch_normalization_71/FusedBatchNormV3:0, %StatefulPartitionedCall/model/lambda_71/Tanh:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_72/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/lambda_71/mul:0, %StatefulPartitionedCall/model/conv2d_72/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_72/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu/LeakyRelu:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_72/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_73/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu/LeakyRelu:0, %StatefulPartitionedCall/model/conv2d_73/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_73/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_1/LeakyRelu_1:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_73/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_74/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_1/LeakyRelu_1:0, %StatefulPartitionedCall/model/conv2d_74/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_74/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_2/LeakyRelu_2:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_74/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_MaxPool_2/MaxPool_2:0 = MaxPool[kernel_shape = [5, 5], pads = [2, 2, 2, 2], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_2/LeakyRelu_2:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_MaxPool_1/MaxPool_1:0 = MaxPool[kernel_shape = [9, 9], pads = [4, 4, 4, 4], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_2/LeakyRelu_2:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_MaxPool/MaxPool:0 = MaxPool[kernel_shape = [13, 13], pads = [6, 6, 6, 6], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_2/LeakyRelu_2:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_concat_5/concat_5:0 = Concat[axis = 1](%StatefulPartitionedCall/model/tf_op_layer_MaxPool/MaxPool:0, %StatefulPartitionedCall/model/tf_op_layer_MaxPool_1/MaxPool_1:0, %StatefulPartitionedCall/model/tf_op_layer_MaxPool_2/MaxPool_2:0, %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_2/LeakyRelu_2:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_75/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_concat_5/concat_5:0, %StatefulPartitionedCall/model/conv2d_75/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_75/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_3/LeakyRelu_3:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_75/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_76/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_3/LeakyRelu_3:0, %StatefulPartitionedCall/model/conv2d_76/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_76/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_4/LeakyRelu_4:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_76/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_77/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_4/LeakyRelu_4:0, %StatefulPartitionedCall/model/conv2d_77/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_77/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_5/LeakyRelu_5:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_77/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_78/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_5/LeakyRelu_5:0, %StatefulPartitionedCall/model/conv2d_78/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_78/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_6/LeakyRelu_6:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_78/FusedBatchNormV3:0)\n",
      "  %Shape__692:0 = Shape(%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_6/LeakyRelu_6:0)\n",
      "  %Slice__694:0 = Slice(%Shape__692:0, %const_slice__931, %const_slice__930)\n",
      "  %Concat__696:0 = Concat[axis = 0](%Slice__694:0, %const_fold_opt__2097)\n",
      "  %Resize__697:0 = Resize[coordinate_transformation_mode = 'half_pixel', mode = 'nearest', nearest_mode = 'floor'](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_6/LeakyRelu_6:0, %const_empty_float__689, %const_empty_float__689, %Concat__696:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_concat_6/concat_6:0 = Concat[axis = 1](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_7/LeakyRelu_7:0, %Resize__697:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_80/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_concat_6/concat_6:0, %StatefulPartitionedCall/model/conv2d_80/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_80/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_8/LeakyRelu_8:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_80/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_81/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_8/LeakyRelu_8:0, %StatefulPartitionedCall/model/conv2d_81/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_81/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_9/LeakyRelu_9:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_81/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_82/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_9/LeakyRelu_9:0, %StatefulPartitionedCall/model/conv2d_82/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_82/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_10/LeakyRelu_10:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_82/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_83/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_10/LeakyRelu_10:0, %StatefulPartitionedCall/model/conv2d_83/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_83/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_11/LeakyRelu_11:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_83/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_84/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_11/LeakyRelu_11:0, %StatefulPartitionedCall/model/conv2d_84/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_84/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_12/LeakyRelu_12:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_84/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_85/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_12/LeakyRelu_12:0, %StatefulPartitionedCall/model/conv2d_85/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_85/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_13/LeakyRelu_13:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_85/FusedBatchNormV3:0)\n",
      "  %Shape__753:0 = Shape(%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_13/LeakyRelu_13:0)\n",
      "  %Slice__755:0 = Slice(%Shape__753:0, %const_slice__931, %const_slice__930)\n",
      "  %Concat__757:0 = Concat[axis = 0](%Slice__755:0, %const_fold_opt__2102)\n",
      "  %Resize__758:0 = Resize[coordinate_transformation_mode = 'half_pixel', mode = 'nearest', nearest_mode = 'floor'](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_13/LeakyRelu_13:0, %const_empty_float__689, %const_empty_float__689, %Concat__757:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_concat_7/concat_7:0 = Concat[axis = 1](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_14/LeakyRelu_14:0, %Resize__758:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_87/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_concat_7/concat_7:0, %StatefulPartitionedCall/model/conv2d_87/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_87/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_15/LeakyRelu_15:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_87/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_88/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_15/LeakyRelu_15:0, %StatefulPartitionedCall/model/conv2d_88/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_88/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_16/LeakyRelu_16:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_88/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_89/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_16/LeakyRelu_16:0, %StatefulPartitionedCall/model/conv2d_89/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_89/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_17/LeakyRelu_17:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_89/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_90/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_17/LeakyRelu_17:0, %StatefulPartitionedCall/model/conv2d_90/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_90/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_18/LeakyRelu_18:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_90/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_91/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_18/LeakyRelu_18:0, %StatefulPartitionedCall/model/conv2d_91/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_91/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_19/LeakyRelu_19:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_91/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_93/FusedBatchNormV3:0 = Conv[auto_pad = 'NOTSET', dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 0, 0], strides = [2, 2]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_19/LeakyRelu_19:0, %StatefulPartitionedCall/model/conv2d_94/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_94/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_21/LeakyRelu_21:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_93/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_concat_8/concat_8:0 = Concat[axis = 1](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_21/LeakyRelu_21:0, %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_12/LeakyRelu_12:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_94/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_concat_8/concat_8:0, %StatefulPartitionedCall/model/conv2d_95/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_95/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_22/LeakyRelu_22:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_94/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_95/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_22/LeakyRelu_22:0, %StatefulPartitionedCall/model/conv2d_96/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_96/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_23/LeakyRelu_23:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_95/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_96/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_23/LeakyRelu_23:0, %StatefulPartitionedCall/model/conv2d_97/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_97/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_24/LeakyRelu_24:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_96/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_97/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_24/LeakyRelu_24:0, %StatefulPartitionedCall/model/conv2d_98/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_98/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_25/LeakyRelu_25:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_97/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_98/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_25/LeakyRelu_25:0, %StatefulPartitionedCall/model/conv2d_99/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_99/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_26/LeakyRelu_26:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_98/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_100/FusedBatchNormV3:0 = Conv[auto_pad = 'NOTSET', dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 0, 0], strides = [2, 2]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_26/LeakyRelu_26:0, %StatefulPartitionedCall/model/conv2d_102/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_102/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_28/LeakyRelu_28:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_100/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_concat_9/concat_9:0 = Concat[axis = 1](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_28/LeakyRelu_28:0, %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_5/LeakyRelu_5:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_101/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_concat_9/concat_9:0, %StatefulPartitionedCall/model/conv2d_103/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_103/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_29/LeakyRelu_29:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_101/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_102/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_29/LeakyRelu_29:0, %StatefulPartitionedCall/model/conv2d_104/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_104/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_30/LeakyRelu_30:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_102/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_103/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_30/LeakyRelu_30:0, %StatefulPartitionedCall/model/conv2d_105/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_105/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_31/LeakyRelu_31:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_103/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_104/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_31/LeakyRelu_31:0, %StatefulPartitionedCall/model/conv2d_106/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_106/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_32/LeakyRelu_32:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_104/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_105/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_32/LeakyRelu_32:0, %StatefulPartitionedCall/model/conv2d_107/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_107/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_33/LeakyRelu_33:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_105/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_106/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_33/LeakyRelu_33:0, %StatefulPartitionedCall/model/conv2d_108/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_108/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_34/LeakyRelu_34:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_106/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/conv2d_109/BiasAdd:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_34/LeakyRelu_34:0, %StatefulPartitionedCall/model/conv2d_109/Conv2D/ReadVariableOp:0, %StatefulPartitionedCall/model/conv2d_109/BiasAdd/ReadVariableOp:0)\n",
      "  %Transpose__1286:0 = Transpose[perm = [0, 2, 3, 1]](%StatefulPartitionedCall/model/conv2d_109/BiasAdd:0)\n",
      "  %Shape__1872:0 = Shape(%StatefulPartitionedCall/model/conv2d_109/BiasAdd:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Shape_2/Shape_2:0 = Gather(%Shape__1872:0, %Const__1878)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Shape_2/Shape_2__900:0 = Cast[to = 6](%StatefulPartitionedCall/model/tf_op_layer_Shape_2/Shape_2:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_strided_slice_5/strided_slice_5:0 = Slice(%StatefulPartitionedCall/model/tf_op_layer_Shape_2/Shape_2__900:0, %const_slice__929, %const_slice__930, %const_slice__931)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_strided_slice_4/strided_slice_4:0 = Slice(%StatefulPartitionedCall/model/tf_op_layer_Shape_2/Shape_2__900:0, %const_slice__931, %const_slice__929, %const_slice__931)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Reshape_2/shape/Reshape_2/shape_Concat__914:0 = Concat[axis = 0](%StatefulPartitionedCall/model/tf_op_layer_strided_slice_4/strided_slice_4:0, %StatefulPartitionedCall/model/tf_op_layer_strided_slice_5/strided_slice_5:0, %StatefulPartitionedCall/model/tf_op_layer_strided_slice_5/strided_slice_5:0, %const_fold_opt__2103, %const_fold_opt__2099)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Reshape_2/Reshape_2__915:0 = Cast[to = 7](%StatefulPartitionedCall/model/tf_op_layer_Reshape_2/shape/Reshape_2/shape_Concat__914:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Reshape_2/Reshape_2:0 = Reshape(%Transpose__1286:0, %StatefulPartitionedCall/model/tf_op_layer_Reshape_2/Reshape_2__915:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_split_2/split_2:0, %StatefulPartitionedCall/model/tf_op_layer_split_2/split_2:1, %StatefulPartitionedCall/model/tf_op_layer_split_2/split_2:2 = Split[axis = -1, split = [4, 1, 80]](%StatefulPartitionedCall/model/tf_op_layer_Reshape_2/Reshape_2:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Sigmoid_5/Sigmoid_5:0 = Sigmoid(%StatefulPartitionedCall/model/tf_op_layer_split_2/split_2:2)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Sigmoid_4/Sigmoid_4:0 = Sigmoid(%StatefulPartitionedCall/model/tf_op_layer_split_2/split_2:1)\n",
      "  %Identity_2:0 = Concat[axis = 4](%StatefulPartitionedCall/model/tf_op_layer_split_2/split_2:0, %StatefulPartitionedCall/model/tf_op_layer_Sigmoid_4/Sigmoid_4:0, %StatefulPartitionedCall/model/tf_op_layer_Sigmoid_5/Sigmoid_5:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_99/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_26/LeakyRelu_26:0, %StatefulPartitionedCall/model/conv2d_100/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_100/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_27/LeakyRelu_27:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_99/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/conv2d_101/BiasAdd:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_27/LeakyRelu_27:0, %StatefulPartitionedCall/model/conv2d_101/Conv2D/ReadVariableOp:0, %StatefulPartitionedCall/model/conv2d_101/BiasAdd/ReadVariableOp:0)\n",
      "  %Transpose__1290:0 = Transpose[perm = [0, 2, 3, 1]](%StatefulPartitionedCall/model/conv2d_101/BiasAdd:0)\n",
      "  %Shape__1876:0 = Shape(%StatefulPartitionedCall/model/conv2d_101/BiasAdd:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Shape_1/Shape_1:0 = Gather(%Shape__1876:0, %Const__1878)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Shape_1/Shape_1__928:0 = Cast[to = 6](%StatefulPartitionedCall/model/tf_op_layer_Shape_1/Shape_1:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_strided_slice_3/strided_slice_3:0 = Slice(%StatefulPartitionedCall/model/tf_op_layer_Shape_1/Shape_1__928:0, %const_slice__929, %const_slice__930, %const_slice__931)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_strided_slice_2/strided_slice_2:0 = Slice(%StatefulPartitionedCall/model/tf_op_layer_Shape_1/Shape_1__928:0, %const_slice__931, %const_slice__929, %const_slice__931)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Reshape_1/shape/Reshape_1/shape_Concat__942:0 = Concat[axis = 0](%StatefulPartitionedCall/model/tf_op_layer_strided_slice_2/strided_slice_2:0, %StatefulPartitionedCall/model/tf_op_layer_strided_slice_3/strided_slice_3:0, %StatefulPartitionedCall/model/tf_op_layer_strided_slice_3/strided_slice_3:0, %const_fold_opt__2103, %const_fold_opt__2099)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Reshape_1/Reshape_1__943:0 = Cast[to = 7](%StatefulPartitionedCall/model/tf_op_layer_Reshape_1/shape/Reshape_1/shape_Concat__942:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Reshape_1/Reshape_1:0 = Reshape(%Transpose__1290:0, %StatefulPartitionedCall/model/tf_op_layer_Reshape_1/Reshape_1__943:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_split_1/split_1:0, %StatefulPartitionedCall/model/tf_op_layer_split_1/split_1:1, %StatefulPartitionedCall/model/tf_op_layer_split_1/split_1:2 = Split[axis = -1, split = [4, 1, 80]](%StatefulPartitionedCall/model/tf_op_layer_Reshape_1/Reshape_1:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Sigmoid_3/Sigmoid_3:0 = Sigmoid(%StatefulPartitionedCall/model/tf_op_layer_split_1/split_1:2)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Sigmoid_2/Sigmoid_2:0 = Sigmoid(%StatefulPartitionedCall/model/tf_op_layer_split_1/split_1:1)\n",
      "  %Identity_1:0 = Concat[axis = 4](%StatefulPartitionedCall/model/tf_op_layer_split_1/split_1:0, %StatefulPartitionedCall/model/tf_op_layer_Sigmoid_2/Sigmoid_2:0, %StatefulPartitionedCall/model/tf_op_layer_Sigmoid_3/Sigmoid_3:0)\n",
      "  %StatefulPartitionedCall/model/batch_normalization_92/FusedBatchNormV3:0 = Conv[dilations = [1, 1], kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_19/LeakyRelu_19:0, %StatefulPartitionedCall/model/conv2d_92/Conv2D_weights_fused_bn, %StatefulPartitionedCall/model/conv2d_92/Conv2D_bias_fused_bn)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_20/LeakyRelu_20:0 = LeakyRelu[alpha = 0.100000001490116](%StatefulPartitionedCall/model/batch_normalization_92/FusedBatchNormV3:0)\n",
      "  %StatefulPartitionedCall/model/conv2d_93/BiasAdd:0 = Conv[dilations = [1, 1], kernel_shape = [1, 1], pads = [0, 0, 0, 0], strides = [1, 1]](%StatefulPartitionedCall/model/tf_op_layer_LeakyRelu_20/LeakyRelu_20:0, %StatefulPartitionedCall/model/conv2d_93/Conv2D/ReadVariableOp:0, %StatefulPartitionedCall/model/conv2d_93/BiasAdd/ReadVariableOp:0)\n",
      "  %Transpose__1294:0 = Transpose[perm = [0, 2, 3, 1]](%StatefulPartitionedCall/model/conv2d_93/BiasAdd:0)\n",
      "  %Shape__1880:0 = Shape(%StatefulPartitionedCall/model/conv2d_93/BiasAdd:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Shape/Shape:0 = Gather(%Shape__1880:0, %Const__1878)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Shape/Shape__956:0 = Cast[to = 6](%StatefulPartitionedCall/model/tf_op_layer_Shape/Shape:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_strided_slice_1/strided_slice_1:0 = Slice(%StatefulPartitionedCall/model/tf_op_layer_Shape/Shape__956:0, %const_slice__929, %const_slice__930, %const_slice__931)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_strided_slice/strided_slice:0 = Slice(%StatefulPartitionedCall/model/tf_op_layer_Shape/Shape__956:0, %const_slice__931, %const_slice__929, %const_slice__931)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Reshape/shape/Reshape/shape_Concat__970:0 = Concat[axis = 0](%StatefulPartitionedCall/model/tf_op_layer_strided_slice/strided_slice:0, %StatefulPartitionedCall/model/tf_op_layer_strided_slice_1/strided_slice_1:0, %StatefulPartitionedCall/model/tf_op_layer_strided_slice_1/strided_slice_1:0, %const_fold_opt__2103, %const_fold_opt__2099)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Reshape/Reshape__971:0 = Cast[to = 7](%StatefulPartitionedCall/model/tf_op_layer_Reshape/shape/Reshape/shape_Concat__970:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Reshape/Reshape:0 = Reshape(%Transpose__1294:0, %StatefulPartitionedCall/model/tf_op_layer_Reshape/Reshape__971:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_split/split:0, %StatefulPartitionedCall/model/tf_op_layer_split/split:1, %StatefulPartitionedCall/model/tf_op_layer_split/split:2 = Split[axis = -1, split = [4, 1, 80]](%StatefulPartitionedCall/model/tf_op_layer_Reshape/Reshape:0)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Sigmoid_1/Sigmoid_1:0 = Sigmoid(%StatefulPartitionedCall/model/tf_op_layer_split/split:2)\n",
      "  %StatefulPartitionedCall/model/tf_op_layer_Sigmoid/Sigmoid:0 = Sigmoid(%StatefulPartitionedCall/model/tf_op_layer_split/split:1)\n",
      "  %Identity:0 = Concat[axis = 4](%StatefulPartitionedCall/model/tf_op_layer_split/split:0, %StatefulPartitionedCall/model/tf_op_layer_Sigmoid/Sigmoid:0, %StatefulPartitionedCall/model/tf_op_layer_Sigmoid_1/Sigmoid_1:0)\n",
      "  return %Identity:0, %Identity_1:0, %Identity_2:0\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "onnx.checker.check_model(model)  # Check that the IR is well formed\n",
    "print(onnx.helper.printable_graph(model.graph))  # Print a human readable representation of the graph\n",
    "   "
   ]
  }
 ],
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